Evidence map›Paper›PMID 40567598›Full record

ArticleBMC digital health2025

Implementation evaluation of biometric fingerprint scanning for monitoring HIV care engagement: acceptability, feasibility, and fidelity among peripartum women living with HIV in Lilongwe, Malawi.

Wiza Kumwenda, Sophie Lazar, Shaphil Wallie, Madelyn Frey, Denzel Matiya, Michael Owino, Victor Mwapasa, Mina Hosseinipour, Angela M Bengtson

Abstract read
In one paragraph

Article in BMC digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Wiza KumwendaUNC Project-Malawi, P/Bag A104, 100 Mzimba Road, Tidziwe Center, Lilongwe, Malawi.ORCID 0000-0002-0050-4431
Sophie LazarDepartment of Epidemiology, Brown University School of Public Health, Providence, RI USA.
Shaphil WallieUNC Project-Malawi, P/Bag A104, 100 Mzimba Road, Tidziwe Center, Lilongwe, Malawi.
Madelyn FreyDepartment of Epidemiology, Brown University School of Public Health, Providence, RI USA.
Denzel MatiyaUNC Project-Malawi, P/Bag A104, 100 Mzimba Road, Tidziwe Center, Lilongwe, Malawi.
Michael OwinoUNC Project-Malawi, P/Bag A104, 100 Mzimba Road, Tidziwe Center, Lilongwe, Malawi.
Victor MwapasaDepartment of Community and Environmental Health, Kamuzu University of Health Sciences, Blantyre, Malawi.
Mina HosseinipourUNC Project-Malawi, P/Bag A104, 100 Mzimba Road, Tidziwe Center, Lilongwe, Malawi.
Angela M BengtsonDepartment of Epidemiology, Emory University, Atlanta, GA USA.

Funding

Malawi HIV Implementation Research Scientist Training Program (MHIRST)D43TW010060 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MINA CHRISTINE HOSSEINIPOUR, Victor Mwapasa · 2015 to 2026
$3.8M
An Implementation Science Approach to Monitoring Engagement in HIV CareR00MH112413 · NIMH · BROWN UNIVERSITY · PI BENGTSON, ANGELA · 2019 to 2021
$747k
FIC NIH HHS D43 TW010060NIMH NIH HHS R00 MH112413
6 · The paper itself

Abstract

Background: Sustained HIV care engagement is essential for pregnant women living with HIV (PWLHIV) on lifelong antiretroviral therapy (ART). However, transferring clinics, missed HIV visits, and disengagement from HIV care can make monitoring engagement challenging. This study evaluated the acceptability, feasibility, and fidelity of a biometric fingerprint scanning (BFS) system to monitor women's engagement in HIV care across a network of large, urban clinics in Malawi using a cloud-based BFS system. Differences in BFS coverage compared to the standard of care monitoring (SOC) system were also examined. Methods: PWLHIV aged ≥18 years, attending their first antenatal visit, and residing in Lilongwe District, Malawi, were enrolled and followed through 9-months postpartum at 5 clinics. An implementation evaluation survey was administered at 9-month postpartum to evaluate BFS acceptability and feasibility. BFS recorded attendance at each study and routine HIV visit, with daily data uploads to facilitate participant identification across sites. SOC attendance data were abstracted for fidelity assessment and comparison of BFS coverage. Descriptive statistics assessed acceptability, feasibility, and fidelity. Using the Conceptual framework of Implementation Fidelity, the composite score for the four fidelity aspects (Coverage, Consistency, Duration, Content) was calculated and categorized as "high" (≥ 80%), "moderate" (50%-79%), and "low adherence" (<50%). Chi-square tests and Poisson regression with generalized estimating equations and robust variance were used to assess differences in BFS coverage, with statistical significance set at Results: Of 399 participants, 91% completed a 9-month postpartum visit. Acceptability was high, with 83% comfortable using BFS and 98% finding it easy to use. Feasibility was high, with 99% recommending it. Fidelity was moderate, with a composite score of 68%. BFS was operational for 88% of 612 working days, used consistently at a median of 50% (IQR 30, 70) of HIV visits, and 75% of participants reported using it as trained. BFS captured 52% of 3,554 visits compared to 48% with SOC (PR = 1.06, 95% CI: 1.04-1.09). Conclusion: BFS was acceptable and feasible for monitoring HIV visits across clinics, showing better coverage compared to the SOC system despite moderate fidelity. Further research is needed to identify barriers and facilitators to BFS implementation. Supplementary Information: The online version contains supplementary material available at 10.1186/s44247-025-00162-8.

Indexed as

AcceptabilityBiometric fingerprint scanningEngagement in HIV careFeasibilityFidelityMonitoring

Identifiers

PMID40567598
PMCPMC12185647

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.